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datasets.ttl
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#771 triples detected in the JSON-LD
@prefix dc: <http://purl.org/dc/elements/1.1/> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix sbd: <https://www.sbd4nano.eu/rdf/#> .
@prefix void: <http://rdfs.org/ns/void#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<https://doi.org/10.5281/zenodo.7966166>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Ce0.25Zr0.75O2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Ce0.25Zr0.75O2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000402, ERM00000444, ERM00000423)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7966166> .
<https://doi.org/10.5281/zenodo.7990302>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterile Fe3O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "<p>Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Sterile Fe3O4 nanoparticles were synthesized under aseptic conditions at Mintek, South Africa (EMR-Identifier in the project: ERM00000583)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7990302> .
<https://doi.org/10.5281/zenodo.7940272>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Co1.5Fe1.5O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Co1.5Fe1.5O4 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR-Identifier in the project: ERM00000407, ERM00000449, ERM00000428).</p>"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7940272> .
<https://doi.org/10.5281/zenodo.7674574>
a sbd:Dataset;
rdfs:label "Data & code repository for the article \"An ancestral molecular response to nanomaterial particulates\""@en;
dc:description "This repository contains the relevant data and code supporting the study \"An ancestral molecular response to nanomaterial particulates\" (DOI: 10.1038/s41565-023-01393-4). In detail the following data sources have been included: - the preprocessed transcriptomic datasets GSE157266 and GSE148705 included in the discovery set (curated_transcriptomic_data.zip); - supplementary materials of the paper, including curated molecular descriptors panels and the ENM gene signature (supplementary_files.zip); -The preprocessed microarray transcriptomics data for drug exposure have been curated from a selection of the Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System (TG-GATEs) data (transcriptomic_data_drug_exposures.zip); -the chemical signatures collected from the Comparative Toxicogenomics Database (CTD) (CTD_signatures.zip); -the list of dose dependent genes for individual transcriptomic dataset (dose_dependent_genes.zip); -the relevant code and input data (code.zip and input_data.zip)"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.7674574> .
<https://doi.org/10.5281/zenodo.7990251>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterile citrated stabilized Au nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "<p>Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Sterile citrated stabilized Au nanoparticles with a diameter of approx. 30 nm were synthesized under aseptic conditions at Mintek, South Africa (EMR-Identifier in the project: ERM00000582)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7990251> .
<https://doi.org/10.5281/zenodo.7965446>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Ce0.5Zr0.5O2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Ce0.5Zr0.5O2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000401, ERM00000443, ERM00000422)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7965446> .
<https://doi.org/10.5281/zenodo.8321185>
a sbd:Dataset;
rdfs:label "Occupational exposure dataset for TiO2, carbon black and TiO2 and Ag;X"@en;
dc:description "The size-resolved emission rate distributions of the nanomaterials supported by occupational exposure web application (https://aerosol.cloud.nanosolveit.eu/) hosted on NanoSolveIT Cloud Platform. distributions are based on experimental data from: A. J. Koivisto, T. Hussein, R. Niemelä, T. Tuomi and K. Hämeri, Impact of particle emissions of new laser printers on modeled office room, Atmos. Environ., 2010, 44(17), 2140–2146. V. Gomez, M. Levin, A. T. Saber, S. Irusta, M. Dal Maso and R. Hanoi, et al., Comparison of Dust Release from Epoxy and Paint Nanocomposites and Conventional Products during Sanding and Sawing, Ann. Occup. Hyg., 2014, 58(8), 983–994. A. J. Koivisto, A. C. Ø. Jensen, K. I. Kling, J. Kling, H. C. Budtz and I. K. Koponen, et al., Particle emission rates during electrostatic spray deposition of TiO2 nanoparticlebased photoactive coating, J. Hazard. Mater., 2018, 341, 218–227. 1 A. J. Koivisto, K. I. Kling, A. S. Fonseca, A. B. Bluhme, M. Moreman and M. Yu, et al., Dip coating of air purifier ceramic honeycombs with photocatalytic TiO2 nanoparticles: A case study for occupational exposure, Sci. Total Environ., 2018, 630, 1283–1291. Details for the usage of the database can be found in: P. Tsiros, N. Cheimarios, A. Tsoumanis, A.C.O. Jensen, G. Melagraki, I. Lynch, H. Sarimveis, A. Afantitis, “Towards an in silico Integrated Approach for Testing and Assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution”, Environmental Science: Nano, 9, 1282, (2022). https://pubs.rsc.org/en/content/articlelanding/2022/en/d1en00956g"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8321185> .
<https://doi.org/10.5281/zenodo.8297079>
a sbd:Dataset;
rdfs:label "Identification of factors determining the process of aggregation/agglomeration of metal oxide nanoparticles in a biological medium"@en;
dc:description "The model allows to identify factors determining the process of aggregation/agglomeration of metal oxide nanoparticles in a biological medium and to verify the importance of ion adsorption and protein adsorption in this process. Model confirms the significant effect of protein adsorption on the hydrodynamic diameter of metal oxide particles in the biological medium, and does not confirm the significant effect of ion adsorption in this process. It’s an example of modeling the properties of nanoparticles, where apart from the descriptors describing the structure of nanoparticles, there are also parameters characterizing the medium."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8297079> .
<https://doi.org/10.6084/m9.figshare.10071023.v1>
a sbd:Dataset;
rdfs:label "MOESM1 of Role of chemical composition and redox modification of poorly soluble nanomaterials on their ability to enhance allergic airway sensitisation in mice"@en;
dc:description " Total and differential cell counts in bronchoalveolar lavage fluid."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://springernature.figshare.com/articles/dataset/MOESM1_of_Role_of_chemical_composition_and_redox_modification_of_poorly_soluble_nanomaterials_on_their_ability_to_enhance_allergic_airway_sensitisation_in_mice/10071023>;
foaf:page <https://doi.org/10.6084/m9.figshare.10071023.v1> .
<https://doi.org/10.5281/zenodo.8314626>
a sbd:Dataset;
rdfs:label "Curated dataset on protein's properties and post-translational modification protein properties"@en;
dc:description "Proteins perform essential cellular functions, which range from cell division and metabolism to DNA replication. Thus, decoding the mechanism of action of cells, requires understanding of the functioning and physicochemical properties of proteins [1]. While the genetic code encodes the primary structure of proteins, they undergo various modifications as part of their normal functioning including addition of modifying groups, such as acetyl, phosphoryl, glycosyl, and methyl, to one or more amino acids after translation, which is known as post-translational modification (PTM) [2, 3]. PTMs play an essential role in regulating protein functions by altering their physicochemical properties and understanding these reactions provides valuable insights regarding cell function. Advances in proteomics research have significantly deepened our understanding of PTMs and their impact on cellular functions and disease mechanisms. The study of PTMs is now at the forefront of research in molecular biology and biochemistry. Many databases, software, and tools have been developed to enhance our understanding of the various PTMs that affect human plasma proteins and help to simplify the analysis of complex PTM data [4]. These PTM databases and tools contain significant information and are a valuable resource for the research community. Key databases include dbPTM, UniProt, and PubChem. Utilising these databases, protein-related information like substrate peptides, amino acid sequence numbers, and experimentally validated PTM sites can be identified and curated. This dataset presents curated information regarding PTM-related changes in the physicochemical properties of the 16 most abundant plasma proteins [5], i.e., Serum Albumin, Serotransferrin, Antithrombin-III, Apolipoprotein A-I, Apolipoprotein A-IV, Apolipoprotein B-100, Apolipoprotein C-II, Apolipoprotein C-III, Apolipoprotein E, Clusterin, Complement C3, Haptoglobin, Histidine-rich glycoprotein, Mannose-binding protein C, Hemoglobin, and Fibrinogen alpha chain. The physicochemical properties studied, and the impact of different PTMs on the properties, include the protein molecular weight, isoelectric point, surface hydrophobicity, and solubility. The PTMs explored include phosphorylation, acetylation, glycosylation, methylation, ubiquitination, SUMOylation, lipidation, glutathionylation, nitrosylation, sulfoxidation, succinylation, neddylation, malonylation, hydroxylation, oxidation, and palmitoylation. References Alberts B, Johnson A, Lewis J, et al. Molecular Biology of the Cell. 4th edition. New York: Garland Science; 2002. Analyzing Protein Structure and Function. Chen, H.; Venkat, S.; McGuire, P.; Gan, Q.; Fan, C. Recent Development of Genetic Code Expansion for Posttranslational Modification Studies. Molecules 2018, 23, 1662. Marc Oeller, Ryan Kang, Hannah Bolt, Ana Gomes dos Santos, Annika Langborg Weinmann, Antonios Nikitidis, Pavol Zlatoidsky, Wu Su, Werngard Czechtizky, Leonardo De Maria,Pietro Sormanni, Michele Vendruscolo: Sequence-based prediction of the solubility of peptides containing non-natural amino acids [bioRiv]. Ramazi S, Zahiri J. Posttranslational modifications in proteins: resources, tools and prediction methods. Database (Oxford). 2021 Apr 7;2021:baab012."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8314626> .
<https://doi.org/10.5281/zenodo.5744302>
a sbd:Dataset;
rdfs:label "RDF version of the data from Hagar I. Labouta et al. Meta-Analysis of Nanoparticle Cytotoxicity via Data-Mining the Literature. NanoImpact (2019)"@en;
dc:description "This is an RDFied version of the dataset published by Hagar I. Labouta et al. Meta-Analysis of Nanoparticle Cytotoxicity via Data-Mining the Literature. NanoImpact (2019). The original dataset publication DOI: https://doi.org/10.1021/acsnano.8b07562 The Original publication authors: Hagar I. Labouta, Nasimeh Asgarian, Kristina Rinker, and David T. Cramb"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.5744302> .
<https://doi.org/10.5281/zenodo.4986068>
a sbd:Dataset;
rdfs:label "BAM reference data: XPS raw data of Al-coated titania nanoparticles (JRCNM62001a and JRCNM62002a)"@en;
dc:description "Data linked to Radnik, J. Kersting, R., Hagenhoff, B., Bennet, F., Ciornii, D.; Nymark, P., Grafström R. and Hodoroaba, V.-D. Nanomaterials 2021, 11, 639. https://doi.org/10.3390/nano11030639."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.4986068> .
<https://doi.org/10.5281/zenodo.7990086>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of Fe3O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Fe3O4 nanoparticles were provided by Promethean Particles (EMR identifier in the project: ERM00000409)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7990086> .
<https://doi.org/10.5281/zenodo.7989699>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of CeO2/Co3O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. CeO2/Co3O4 nanoparticles were provided by Promethean Particles (EMR identifier in the project: ERM00000397)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7989699> .
<https://doi.org/10.5281/zenodo.5744003>
a sbd:Dataset;
rdfs:label "RDF version of the data from Saarimaki et al. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials (Version 1.0.0) [Zenodo Dataset] (2020)"@en;
dc:description "This is an RDFied version of the dataset published by Saarimaki et al. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials (Version 1.0.0) [Zenodo Dataset] (2020). The original dataset publication DOI: http://doi.org/10.5281/zenodo.4146981. The Original publication authors: Saarimaki, Laura Aliisa, Federico, Antonio, Lynch, Iseult, Papadiamantis, Anastasios G., Tsoumanis, Andreas, Melagraki, Georgia, Afantitis, Antreas, Serra, Angela, & Greco, Dario"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://zenodo.org/record/5744003> .
<https://doi.org/10.5281/zenodo.3467015>
a sbd:Dataset;
rdfs:label "NANoREG - eNanoMapper database"@en;
dc:description "In NANoREG over 85 institutional partners from EU member states, associated states, the Republic of Korea and Brazil collaborated in developing reliable, reproducible and relevant methods for testing and assessing the effects of nanomaterials on human health and environment in a regulatory context."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.3467015> .
<https://doi.org/10.5281/zenodo.7966134>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Ce0.75Zr0.25O2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Ce0.75Zr0.25O2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifiers in the project: ERM00000400, ERM00000442, ERM00000421)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7966134> .
<https://nanocommons.github.io/datasets/>
a void:DatasetDescription;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <http://creativecommons.org/publicdomain/zero/1.0/>;
dct:title "Overview of open datasets released by NanoSafety Cluster projects"@en;
foaf:img <https://upload.wikimedia.org/wikipedia/commons/e/e1/NanoCommons-Logo-Large_-_White_Circle_01.png> .
<https://doi.org/10.5281/zenodo.5743204>
a sbd:Dataset;
rdfs:label "RDF version of the data from Choi, JS. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources (2018)"@en;
dc:description "This is an RDFied version of the dataset published in Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018). The original dataset publication DOI: https://doi.org/10.1038/s41598-018-24483-z. The Original publication authors: Jang-Sik Choi, My Kieu Ha, Tung Xuan Trinh, Tae Hyun Yoon & Hyung-Gi Byun"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://zenodo.org/record/5743204> .
<https://doi.org/10.5281/zenodo.7966355>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized TiO2 PVP nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. TiO2 PVP nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000414, ERM00000456, ERM00000435)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7966355> .
<https://doi.org/10.5281/zenodo.7335039>
a sbd:Dataset;
rdfs:label "Extracting interpretable rules with Bayesian Networks. A case study of intrinsic human hazardous properties of silver nanoforms for the Safety Dimension of Safe and Sustainable by design paradigm"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://zenodo.org/record/7335039> .
<https://doi.org/10.6084/m9.figshare.7844594.v1>
a sbd:Dataset;
rdfs:label "Heatmap of the overall HTS database"@en;
dc:description "High througput imaging DB of toxicological effect of Manufactured nanomaterials on HepaRGs."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/share-your-work/public-domain/cc0>;
foaf:page <https://doi.org/10.6084/m9.figshare.7844594.v1> .
<https://doi.org/10.5281/zenodo.8297121>
a sbd:Dataset;
rdfs:label "Influence of protein corona on cytotoxicity of metal oxide nanoparticles against human keratinocyte cell line (HaCaT)"@en;
dc:description "The model identified, among the factors determining the cytotoxic properties of metal oxide nanoparticles against HaCaT cell lines, a number of variables related to the processes occurring on the surface of nanoparticles in a biological medium, including the ability to form protein corona. The selected descriptors describe both the electronic structure of the metal oxides that are the components of the nanoparticles, i.e. the ionization potential (IP_ActivM_SM_#1, IP_ActivM_SM_#2) and the initial nanoforms, i.e. the particle size (Primary size) and the percentage content of the metal oxide which is the main component of the nanoparticle (Purity_#1) ; characterize nanoparticles in the medium, i.e. the isoelectric point (PZZP_#2), stability (Stability), potential for dissolution (Dissolution), generation of reactive oxygen species (ROS production) and protein adsorption (Protein adsorption). The listed descriptors reflect the features that are discussed in the literature as potentially related to the toxic effect of nanoparticles."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8297121> .
<https://doi.org/10.5281/zenodo.8297068>
a sbd:Dataset;
rdfs:label "The influence of the properties of inorganic solvents on the hydrodynamic diameter of TiO2 nanoparticles"@en;
dc:description "In this model the property of a nanomaterial is predicted not on the basis of descriptors characterizing the chemical composition of nanoparticles or physical properties of the initial nanoforms, but on the basis of descriptors describing the dispersion medium (pH, IP, D3_HeteroNonMetals) and the property of nanoparticles dependent on it (Potential ζ). The observed small size of the hydrodynamic diameter of TiO2 in solvents of strong acids and bases compared to other solvents may indicate stronger repulsive interactions between nanoparticles than in the case of other systems. Moreover, in the case of salt solutions, the observed large size of the hydrodynamic diameter of TiO2 may be the result of a thicker electrical layer surrounding the particles in the dispersion system."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8297068> .
<https://doi.org/10.5281/zenodo.7940162>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized ZnO nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. ZnO nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR-Identifiers in the project: ERM00000416, ERM00000458, ERM00000437)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7940162> .
<https://doi.org/10.6084/m9.figshare.2056095.v1>
a sbd:Dataset;
rdfs:label "NanoPUZZLES ISA-TAB-Nano dataset: Data extracted from NanoCare project final scientific report"@en;
dc:description "This file is a ZIP archive which contains three different copies of an ISA-TAB-Nano dataset developed within the NanoPUZZLES EU project (http://www.nanopuzzles.eu). The (meta)data in this dataset were primarily extracted from the following reference, with additional references consulted as indicated in the Investigation file: Data extracted from NanoCare project final scientific report: http://www.nanopartikel.info/files/projekte/NanoCare/NanoCare_Final_Report.pdf (last accessed 4th of June 2015)"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.6084/m9.figshare.2056095.v1> .
<https://doi.org/10.5281/zenodo.7940539>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Co2.25Fe0.75O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Co2.25Fe0.75O4 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000406, ERM00000448, ERM00000427).</p>"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7940539> .
<https://doi.org/10.5281/zenodo.13862979>
a sbd:Dataset;
rdfs:label "Raw and processed data, gating strategy, and photographs of instrumental setup of NAVETTA"@en;
dc:description "Supplementary Information and Raw Data for Weiss et al., Comp Struct Biotechn J: Nanosci Adv Mat, 2024 1. xls sheet of raw and processed data for all figures 2.-3. gating strategies for flow cytometry experiments 4.-8. photographs of instrumental setups"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.13862979> .
<https://doi.org/10.5281/zenodo.7961318>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized TiO2 D540 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. TiO2 D540 nanoparticles, which are TiO2 particles, with a diameter of about 540nm, were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000415, ERM00000457, ERM00000436)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7961318> .
<https://doi.org/10.5281/zenodo.8297048>
a sbd:Dataset;
rdfs:label "Predictive nano-QSAR modeling of the cytotoxicity using epithelial cells obtained from Chinese hamster ovary (CHO-K1 cell line) for hybrid TiO2-based nanomaterials"@en;
dc:description "Results obtained from developed model indicated that the cytotoxicity of hybrid TiO2-based nanomaterials is related to additive electronegativity (χmix) of studied nanomaterials that are indirectly related to the electron generation and ROS formation. ROS production is the most common toxicity cause as discussed in the literature in the case of nanoparticles. The high efficiency of surface modified TiO2-based semiconductors can be attributed to the involvement of TiO2 band gap (Eg) excitation and absence of noble metals at the TiO2 surface. It can be expected that noble metals (i.e. Pd/Pt) may trap holes (h+), at the same time photo-generated electrons can be then transferred from the valence band to the conduction band of TiO2 and to its surface where redox processes were initiated. Thus, observed reduction of the electron–hole pair recombination influences the reactive oxygen species (ROS) formation and the photocatalytic redox process initiation. Since the electronegativity was positively correlated with the cytotoxicity it can be expected that some ions are released from the TiO2 surface easier than others."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8297048> .
<https://doi.org/10.5281/zenodo.4421969>
a sbd:Dataset;
rdfs:label "Status quo in data availability and predictive models of nano-mixture toxicity"@en;
dc:description "Supplementary materials for manuscript: Status quo in data availability and predictive models of nano-mixture toxicity. This table contains the list of 183 curated literature used in this study."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.4421969> .
<https://doi.org/10.5281/zenodo.6473305>
a sbd:Dataset;
rdfs:label "Raw data of in vitro investigations on immune activation by bare and surface-functionalized SiO2 NP-allergen conjugates using human monocyte-derived dendritic cells as model antigen-presenting cells. Data repository for Punz B. et al., 2022"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://zenodo.org/record/6473305> .
<https://doi.org/10.5281/zenodo.8297022>
a sbd:Dataset;
rdfs:label "Photodegradation of phenol (τOH) by TiO2-based nanophotocatalysts determined in line with the SAPNet methodology"@en;
dc:description "The independent variable (predictor) is the intensity of photoluminescence at 398 nm and with use of logistic regression model connects ability of photocatalytic degradation of phenol (endpoint) with this experimentally derived property. The equation goes as follow: 4.32(±2.10) – 0.051(±0.03)(PL398) The developed model is included into the SAPNet workflow (Structure-Activity Prediction Network). In an additional step of SAPNet workflow developed model correlates the structure of a nanomaterial to the selected endpoint- photodegradation of phenol (τOH) by titanium dioxide synthesized in the presence of ionic liquids (IL). Each sample is described by surface area, the amount of nitrogen and carbon atoms, ionic liquid decomposition rate (ΔIL), molar ratio and the type of cations and anions, that influences photoluminescence"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8297022> .
<https://doi.org/10.5281/zenodo.7941567>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized TiO2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. TiO2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000413, ERM00000455, ERM00000434)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7941567> .
<https://doi.org/10.5281/zenodo.5744082>
a sbd:Dataset;
rdfs:label "RDF version of the data from Anastasios G. et al. Computational enrichment of physicochemical data for the development of a zeta-potential read-across predictive model with Isalos Analytics Platform. NanoImpact (2021)"@en;
dc:description "This is an RDFied version of the dataset published by Anastasios G. et al. Computational enrichment of physicochemical data for the development of a zeta-potential read-across predictive model with Isalos Analytics Platform. NanoImpact (2021). The original dataset publication DOI: https://doi.org/10.1016/j.impact.2021.100308 The Original publication authors: Anastasios G. Papadiamantis, Antreas Afantitis, Andreas Tsoumanis, Eugenia Valsami-Jones, Iseult Lynch, Georgia Melagraki"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.5744082> .
<https://doi.org/10.5281/zenodo.7980953>
a sbd:Dataset;
rdfs:label "A Curated Gene and Biological System Annotation of Adverse Outcome Pathways Related to Human Health"@en;
dc:description "Adverse Outcome Pathways (AOPs) are multi-scale models of biological mechanisms connecting molecular initiating events to adverse outcomes through measurable key events. AOPs can guide the use and development of new approach methodologies (NAMs) aimed at reducing animal experimentation in chemical safety assessment. Here, we present a comprehensive molecular annotation of AOPs relevant to human health to embed the AOP framework into molecular data interpretation, which supports the development and application of novel AOP-based approaches in biomedical research. Please cite the following publication alongside this Zenodo entry when using the data: Saarimäki, L.A., Fratello, M., Pavel, A. et al. A curated gene and biological system annotation of adverse outcome pathways related to human health. Sci Data 10, 409 (2023). https://doi.org/10.1038/s41597-023-02321-w"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.7980953> .
<https://doi.org/10.5281/zenodo.4609840>
a sbd:Dataset;
rdfs:label "Raw data and metadata of SiO2 NP physicochemical characterisation, in vitro investigations and in silico predictions on protein corona formation"@en;
dc:description "Raw data and metadata of SiO2 NP physicochemical characterisation, in vitro investigations and in silico predictions on protein corona formation. Data repository for Hasenkopf I. et al., 2021"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.4609840> .
<https://doi.org/10.5281/zenodo.35493>
a sbd:Dataset;
rdfs:label "All NanoPUZZLES ISA-TAB-Nano datasets"@en;
dc:description "This file is a ZIP archive which contains ALL publicly released ISA-TAB-Nano datasets developed within the NanoPUZZLES EU project [http://www.nanopuzzles.eu]. The (meta)data in these datasets were extracted from literature references."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <http://doi.org/10.5281/zenodo.35493> .
<https://doi.org/10.5281/zenodo.7941462>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized CeO2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. CeO2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000398, ERM00000440, ERM00000419)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7941462> .
<https://doi.org/10.5281/zenodo.7990214>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterile ZnO nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Sterile ZnO nanoparticles were synthesized under aseptic conditions at Mintek, South Africa (EMR-Identifier in the project: ERM00000584)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7990214> .
<https://doi.org/10.6084/m9.figshare.11897205.v1>
a sbd:Dataset;
rdfs:label "NanoWiki 6"@en;
dc:description "Data collection manually extracted from literature"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/publicdomain/zero/1.0/>;
foaf:page <https://doi.org/10.6084/m9.figshare.11897205.v1> .
<https://doi.org/10.5281/zenodo.7965603>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Ce0.1Zr0.9O2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Ce0.1Zr0.9O2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000403, ERM00000445, ERM00000424)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7965603> .
<https://doi.org/10.5281/zenodo.7941248>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Co3O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Co3O4 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000405, ERM00000447, ERM00000426)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7941248> .
<https://doi.org/10.5281/zenodo.7965537>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized ZrO2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. ZrO2 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifier in the project: ERM00000404, ERM00000446, ERM00000425)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7965537> .
<https://doi.org/10.5281/zenodo.7940770>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Co0.75Fe2.25O4 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Co0.75Fe2.25O4 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifiers in the project: ERM00000408, ERM00000450, ERM00000429)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7940770> .
<https://doi.org/10.5281/zenodo.8076364>
a sbd:Dataset;
rdfs:label "RDF dataset produced in the work \"Exploring Adverse Outcome Pathways for Nanomaterials with semantic web technologies\""@en;
dc:description "Adverse Outcome Pathways (AOPs) have been proposed to facilitate mechanistic understanding of interactions of chemicals/materials with biological systems. Each AOP starts with a molecular initiating event (MIE) and possibly ends with adverse outcome(s) (AOs) via a series of key events (KEs). So far, the interaction of engineered nanomaterials (ENMs) with biomolecules, biomembranes, cells, and biological structures, in general, is not yet fully elucidated. There is also a huge lack of information on which AOPs are ENMs-relevant or -specific, despite numerous published data on toxicological endpoints they trigger, such as oxidative stress and inflammation. We propose to integrate related data and knowledge recently collected. Our approach combines the annotation of nanomaterials and their MIEs with ontology annotation to demonstrate how we can then query AOPs and biological pathway information for these materials. We conclude that a FAIR (Findable, Accessible, Interoperable, Reusable) representation of the ENM-MIE knowledge simplifies integration with other knowledge."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8076364> .
<https://doi.org/10.5281/zenodo.4713745>
a sbd:Dataset;
rdfs:label "NanoReg2 - eNanoMapper database"@en;
dc:description "H2020 NanoReg2 project data SQL dump for AMBIT chemical substance data management software."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.4713745> .
<https://doi.org/10.5281/zenodo.4146981>
a sbd:Dataset;
rdfs:label "Toxicogenomic assessment of engineered nanomaterials"@en;
dc:description "Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.4146981> .
<https://doi.org/10.5281/zenodo.5743788>
a sbd:Dataset;
rdfs:label "RDF version of the data from Anastasios G. Papadiamantis et al. Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform (2020)"@en;
dc:description "This is an RDFied version of the dataset published in Papadiamantis, A.G. et al. Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform. Nanomaterials 2020, 10, 2017. The original dataset publication DOI: https://doi.org/10.3390/nano10102017. The Original publication authors: Papadiamantis, A.G.; Jänes, J.; Voyiatzis, E.; Sikk, L.; Burk, J.; Burk, P.; Tsoumanis, A.; Ha, M.K.; Yoon, T.H.; Valsami-Jones, E.; Lynch, I.; Melagraki, G.; Tämm, K.; Afantitis, A."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://zenodo.org/record/5743788> .
<https://doi.org/10.5281/zenodo.7941002>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized Fe2O3 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project NanoSolveIT. Fe2O3 nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifiers in the project: ERM00000410, ERM00000452, ERM00000431)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7941002> .
<https://doi.org/10.5281/zenodo.8297848>
a sbd:Dataset;
rdfs:label "Adsorption free energies and potentials of mean-force for interactions between amino acids, lipid fragments, and nanoparticles"@en;
dc:description "This dataset contains tabulated potentials of mean force (PMFs) and associated adsorption (binding) free energies for interactions of amino acids side chain analogues and lipid fragments (LF) with a range of materials: titanium dioxide, iron oxide, amorphous silica, quartz, and a range of carbon-based materials including amorphous carbon, graphene and carbon nanotubes both in a pristine form and functionalized by certain chemical groups. All data were computed from atomistic molecular dynamics simulations as a part of the SmartNanoTox project 2016-2020. Version 2 of the dataset includes additional materials: zink oxide, zink sulfate in pristine and PMMA-coated forms computed within NanoSolveIt project (2019-2023). The data are intended to be used in coarse-grained models describing interactions of nanomaterials with nanoparticles, for the prediction of the binding affinity of proteins and lipids to nanoparticles, and as biological \"fingerprints\" of nanomaterials characterizing behavior of the nanomaterials in biological environments."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://doi.org/10.5281/zenodo.8297848> .
<https://doi.org/10.5281/zenodo.7602354>
a sbd:Dataset;
rdfs:label "RDF version of the supplementary data from Shin, Hyun Kil and Seo et al. Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines (2018)"@en;
dc:description "This is an RDF version of the dataset published by Shin, Hyun Kil and Seo et al. as a supplement of the study Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines. Environ. Sci.: Nano (2018). The original dataset is available online: https://ui.staging.kit.cloud.douglasconnect.com/dataexplorer?dataset=ab2bc1ee-99dc-4ddf-b1f9-9fdeb8a0f48c%3A1&q=%7B%7D. The original publication DOI: http://dx.doi.org/10.1039/C7EN01127J. GitHub repository of the datasets converted to RDF along with RML mappings: https://github.com/ammar257ammar/RDFied-datasets"@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by/4.0/legalcode>;
foaf:page <https://zenodo.org/record/7602354> .
<https://doi.org/10.5281/zenodo.7986673>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of Ce0.9Zr0.1O2 nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. Ce0.9Zr0.1O2 nanoparticles were provided by Promethean Particles (EMR identifier in the project: ERM00000399)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7986673> .
<https://doi.org/10.5281/zenodo.7966245>
a sbd:Dataset;
rdfs:label "Physico-chemical characterization of sterilized AlOOH nanoparticles by XPS / HAXPES / SEM"@en;
dc:description "Here a dataset of XPS, HAXPES and SEM measurements for the physico-chemical characterization of sterilized nanoparticles is presented. The measurements are part of the H2020 project “NanoSolveIT”. AlOOH nanoparticles were provided by Promethean Particles and treated differently by project partners from the University of Birmingham (EMR identifiers in the project: ERM00000396, ERM00000438, ERM00000417)."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://creativecommons.org/licenses/by-nc/3.0/de/legalcode>;
foaf:page <https://zenodo.org/record/7966245> .
<https://doi.org/10.6084/m9.figshare.10071032.v1>
a sbd:Dataset;
rdfs:label "MOESM2 of Role of chemical composition and redox modification of poorly soluble nanomaterials on their ability to enhance allergic airway sensitisation in mice"@en;
dc:description " Additional file 2. Cytokines in bronchoalveolar lavage fluid."@en;
dc:source <https://nanocommons.github.io/datasets/>;
dct:license <https://springernature.figshare.com/articles/dataset/MOESM1_of_Role_of_chemical_composition_and_redox_modification_of_poorly_soluble_nanomaterials_on_their_ability_to_enhance_allergic_airway_sensitisation_in_mice/10071032>;
foaf:page <https://doi.org/10.6084/m9.figshare.10071032.v1> .